Titlebook: Big Data Benchmarks, Performance Optimization, and Emerging Hardware; 6th Workshop, BPOE 2 Jianfeng Zhan,Rui Han,Roberto V. Zicari Conferen

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0302-9743 erformance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases..The 8 papers presented were carefully reviewed and selected from 10 submissions. The worksho

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Arithmetic Flags and Instructionsa lot comparing with the original version. We analyzed on which aspects Spark have made efforts to support many workloads efficiently and whether the changes make the support for SQL achieve better performance.

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Conference proceedings 2016are, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases..The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system suppor

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https://doi.org/10.1007/b138691 and analytics-aware. In addition, the benchmark also provides application plug-ins that allow for compelling demonstration of big data solutions. We describe the benchmark design challenges, an early prototype and three use cases.

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https://doi.org/10.1007/b138691ition interval to achieve better performance. The algorithm has been applied to a large management system project. Experimental results show that with the help of dynamic adjusting mechanism, the proposed approach can provide reliable collection service for common data acquisition systems.

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Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarkingthis paper, we revisit successful benchmarks in other domains from two perspectives: benchmarking principles which define fundamental rules, and methodologies which guide the benchmark constructions. Further, we conclude the benchmarking principle and methodology on big data benchmarking from a recent open-source effort – BigDataBench.